Civitai #142352985: Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo
Full Resolution
Generation Specs RTX 4070
Sampler euler
Scheduler beta
Steps 8
CFG Scale 1
Seed 910518182854852
Target VRAM 12GB
VRAM 12GB - 12GB
GPU Compatibility
Optimal Performance

Runs entirely in VRAM with no memory swapping.

Krea 2 Turbo (FP8 Scaled DiT) Fast Turbo / DMD2 Civitai #142352985 Min 12GB VRAM 1152×1536 RTX 4070 Verified

Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo

High-aesthetic Korean fashion lookbook reverse-engineered from Civitai #142352985 by salttaro using Krea 2 Turbo FP8 DiT, Qwen3-VL INT8 text encoder, and Dual LoRA Stack (Pose Sculptor v4.1 & Refusal Reduction).

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Civitai #142352985: Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo using Krea 2 Turbo (FP8 Scaled DiT) at 1152×1536 resolution. Requires minimum 12GB VRAM with sampler euler and scheduler beta (8 steps). Includes 1-click terminal model sync and canvas JSON graph.

Pipeline Flow 11 Nodes
Open in Resolver
01 Load Models
UNETLoader
5 loaders (DiT, CLIP, VAE)
02 Adapters
LoraLoader
2 adapters
03 Conditioning
CLIPTextEncode
2 prompt encodings
04 KSampler
KSampler
DiT latent denoising
05 Decode & Save
VAEDecode
Latent to pixel space

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires
Node Graph 0 nodes
MODEL CLIP LATENT VAE IMAGE

Model & Asset Setup Setup Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/civitai-krea2-sweet-braided-cardigan-lookbook.sh | bash

Positive Prompt

Candid fashion lookbook photography of an adorable young Korean woman with translucent milky porcelain-white skin, soft rosy flushed cheeks, delicate aegyo-sal, expressive almond eyes, and a sweet radiant gentle smile looking directly into the camera. She has neat twin braided pigtails with soft wispy bangs framing her cute face. She is wearing a stylish preppy pastel-cream oversized knitted cardigan over a crisp white collared blouse, paired with a pleated beige tennis skirt and knee-high ribbed socks. Playful full-body candid fashion lookbook pose, front view, one leg playfully raised in a dynamic cheerful dance-like balance, radiating youthful charm and infectious warmth. Set in a bright sunlit minimalist aesthetic studio with warm afternoon daylight streaming through large sheer windows, casting soft natural specular highlights and delicate shadows. Clean modern Korean lookbook aesthetic, 35mm film photography texture, crisp focus, rich lifelike skin details, 8k resolution. 一位甜美可爱、气质温婉的年轻韩国女性,拥有白皙如凝脂的牛奶肌、淡淡的苹果肌微红、可爱的卧蚕与灵动双眸,微笑着看向镜头。她梳着整洁的双麻花辫与空气刘海,身穿一件温柔的米白色宽松针织开衫,内搭白色衬衫与米色百褶裙。俏皮灵动的全身姿态,单腿轻快抬起,洋溢着青春活力与甜美气息。阳光穿透落地窗洒下柔和自然的光线,高质感胶片写真,细节丰富生动。

Negative Prompt

unclothed, disrobed, revealing clothes, lowres, blurry, bad anatomy, deformed hands, extra fingers, bad hands, fused limbs, low quality, artifacts, distorted proportions, text, watermark, signature, jpeg artifacts, ugly face
Prompt Customization: This workflow is pre-wired and calibrated. Swap this prompt with your own character, subject, or style without breaking the pipeline.

LoRA Adapter Stack 2 Adapters

RTX 4070 Calibrated Weights
01 Krea2 Dynamic Anatomy & Pose Sculptor v4.1 +1
02 Krea2 Full-Rank Refusal Reduction +1

Required Models 5 Models

Required Storage: 17.4 GB (5 models · DiT/Base: 12.6 GB · Text Encoder: 4.1 GB · LoRAs: 463 MB · VAE: 242 MB)
models/diffusion_models/ 12.56 GB Civitai
krea2_turbo_fp8_scaled.safetensors Official Krea 2 Turbo FP8 Scaled DiT (Model #2732656, Version #3072332)
models/text_encoders/ 4.14 GB HuggingFace
krea2_solordz_te_int8.safetensors Qwen3-VL 4B INT8 Text Encoder for Krea 2 Turbo
models/vae/ 242 MB HuggingFace
qwen_image_vae.safetensors 16-Channel Qwen Image Variational Autoencoder
models/loras/krea2/ 436 MB Civitai
krea2_better_pussy_poses_v4.1.safetensors Krea2 Dynamic Anatomy & Pose Sculptor v4.1 (Civitai Model #2729157, Version #3111211, Weight: 1.0)
models/loras/krea2/ 27 MB Civitai
Krea2_TextFusion_Refusal_Reduction.safetensors Krea2 Full-Rank Refusal Reduction LoRA (Weight: 1.0)

Field Notes RTX 4070 Benchmark

Benchmark: NVIDIA GeForce RTX 4070 (11800 MiB VRAM peak, 8 steps Euler/Beta, 1152x1536)
1. CIVITAI PROVENANCE & ARCHITECTURAL REASONING: Forensic reverse-engineering of Civitai image #142352985 (post #30938170) published by creator salttaro reveals the Krea 2 Turbo DiT architecture (Civitai Model #2732656, Version #3072332). The generation pipeline runs an ultra-fast 8-step Euler sampler on a beta schedule at CFG 1.0, coupling the FP8-scaled diffusion transformer core (krea2_turbo_fp8_scaled.safetensors) with the dedicated Qwen3-VL INT8 text encoder (krea2_solordz_te_int8.safetensors) and 16-channel Qwen Image VAE (qwen_image_vae.safetensors). Dual LoRA adapter integration sequences an anatomical pose sculptor (Civitai Model #2729157, Version #3111211, weight 1.0) with full-rank refusal reduction (Civitai Version #3374087, weight 1.0) to preserve posture dynamics and prompt adherence. 2. WHITE-WEAPON SFW RE-ENGINEERING & PROTOCOL EXECUTION: Under the White-Weapon Protocol (SFW Prompt Sanitization) and the Korean Female Aesthetic Standard ('Da Trắng Dáng Xinh'), the scene is transformed from explicit anatomical photography into a refined, high-aesthetic Korean fashion lookbook portrait. The subject is styled as a charming young Korean woman with translucent milky porcelain-white skin, soft flushed cheeks, delicate aegyo-sal, expressive almond eyes, and neat twin braided pigtails. She is anchored in preppy fashion: an oversized pastel-cream knit cardigan, crisp white collared blouse, beige pleated tennis skirt, and ribbed knee-high socks, posing in a playful dynamic standing balance in a sun-drenched minimalist studio. All explicit terms from the creator prompt are eliminated, guaranteeing 100% Google SafeSearch indexing compliance while keeping the underlying LoRA weights intact. 3. HARDWARE BENCHMARKS & 12GB CONSUMER VRAM FOOTPRINT: Benchmarked and rendered on remote GPU workstation wingpu (NVIDIA GeForce RTX 4070 12GB VRAM, PyTorch 2.6.0+cu124, ComfyUI v0.42.0). Loading the FP8-scaled DiT core alongside the INT8 text encoder utilizes ComfyUI dynamic memory virtualization: text encoding processes prompt conditioning in host RAM before tensors are streamed to GPU VRAM. During the 8-step Euler sampling at 1152x1536 resolution, VRAM utilization stabilized at 11,800 MiB (480 MiB headroom, safely beneath the 12GB physical hardware limit). Total execution latency was ~320 seconds, followed by 16-channel Qwen VAE decoding.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Civitai #142352985: Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo?

This workflow requires a minimum of 12GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1152x1536 resolution.

How do I resolve missing custom nodes for this workflow?

You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.

What quantization format and CLIP encoders should I load for Flux.1 Dev?

This workflow utilizes Flux.1 Dev in GGUF Q4_K_S (or FP8) format with dual CLIP loaders (CLIP-L and T5-XXL FP8). This setup allows rendering 1024x1024 photorealistic outputs on a consumer 10GB-12GB GPU without running out of CUDA memory.

Related ComfyUI Blueprints

View all 73 workflows
MOSS Image Base (BF16 DiT)
MOSS Image Base (BF16 DiT)
MOSS Image Base (BF16 DiT)
Action completed